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Neoware Technology Solutions - Azure Data Engineer - ETL Job Opening In Chennai – Now Hiring Neoware Technology Solutions


Job description

<p><p><b>Job Title :</b> Data Engineer <br/><br/><b>Experience Level :</b> 5 - 8 Years </p><p><p><b><br/></b></p><p><b>Location :</b> Chennai </p><p><br/><b>About the Role :</b> </p><p><br/></p></p><p>We are seeking a highly skilled and experienced Data Engineer to join our team, focusing on building and maintaining robust data pipelines and infrastructure for our U.S. healthcare payer operations.

</p><p><br/></p><p>You will be responsible for the ingestion, transformation, and availability of large, complex healthcare datasets, enabling our data scientists and ML engineers to develop impactful solutions.

</p><p><br/></p><p>This role requires a strong foundation in data warehousing, ETL/ELT processes, and cloud-based data platforms within a highly regulated :</b><br/><br/>- Design, develop, and optimize scalable data pipelines (ETL/ELT) to ingest, transform, and load diverse healthcare data from various sources into our data warehouse/lake.<br/><br/>- Build and maintain robust data models (e.g., star schema, snowflake schema) to support analytics, reporting, and machine learning initiatives.<br/><br/>- Write highly optimized SQL queries and Python scripts for data manipulation, cleansing, validation, and transformation.<br/><br/>- Ensure data quality, integrity, and reliability across all data pipelines.<br/><br/>- Collaborate with data scientists, ML engineers, and business stakeholders to understand data requirements and translate them into efficient data solutions.<br/><br/>- Implement and manage data governance policies, security measures, and access controls for sensitive healthcare data (e.g., HIPAA compliance).<br/><br/>- Monitor data pipeline performance, troubleshoot issues, and implement solutions for continuous improvement.<br/><br/>- Automate data workflows using orchestration tools and integrate with CI/CD pipelines.<br/><br/>- Contribute to the selection, evaluation, and implementation of new data technologies and tools.<br/><br/>- Document data pipelines, data models, and data flow processes thoroughly.<br/><br/><b>Required Technical Skills :</b><br/><br/>- Programming Language : Strong proficiency in Python for data processing and automation.<br/><br/>- Databases : Expert-level SQL skills for complex querying, data manipulation, and optimization.

Experience with relational and NoSQL databases.<br/><br/>- Data Pipelines : Proven experience designing and implementing ETL/ELT processes.<br/><br/>- Cloud Platforms : Extensive hands-on experience with data services on Azure( Azure Data Lake, Azure Synapse Analytics, Azure Data Factory).<br/><br/>- Containerization : Familiarity with Docker for deploying data-related applications.<br/><br/>- Version Control : Proficient with Git and GitHub.<br/><br/>- Testing : Experience with Python unittest framework and Pytest for data pipeline testing.<br/><br/>- CI/CD : Understanding of CI/CD concepts and experience integrating data pipeline deployments with Azure <br/><br/>- Data Modeling : Strong knowledge of data warehousing concepts and data modeling techniques</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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